Radiomics features of 18F-fluorodeoxyglucose positron-emission tomography as a novel prognostic signature in colorectal cancer

Jeonghyun Kang, Jae Hoon Lee, Hye Sun Lee, Eun Suk Cho, Eun Jung Park, Seung Hyuk Baik, Kang Young Lee, Chihyun Park, Yunku Yeu, Jean R. Clemenceau, Sunho Park, Hongming Xu, Changjin Hong, Tae Hyun Hwang

Research output: Contribution to journalArticlepeer-review

Abstract

Purpose: The aim of this study was to investigate the prognostic value of radiomics signatures derived from 18F-fluorodeoxyglucose (18F-FDG) positron-emission tomography (PET) in patients with colorectal cancer (CRC). Methods: From April 2008 to Jan 2014, we identified CRC patients who underwent 18F-FDG-PET before starting any neoadjuvant treatments and surgery. Radiomics features were extracted from the primary lesions identified on 18F-FDG-PET. Patients were divided into a training and a validation set by random sampling. A least absolute shrinkage and selection operator (LASSO) Cox regression model was applied for prognostic signature building with progression-free survival (PFS) using the training set. Using the calculated radiomics score, a nomogram was developed, and the clinical utility of this nomogram was assessed in the validation set. Results: Three-hundred-and-eight-one patients with surgically resected CRC patients (training set 228 vs. validation set 153) were included. In the training set, a radiomics signature called a rad_score was generated using two PET-derived features such as Gray Level Run Length Matrix_Long-Run Emphasis (GLRLM_LRE) and Grey-Level Zone Length Matrix_Short-Zone Low Gray-level Emphasis (GLZLM_SZLGE). Patients with a high-rad_score in the training and validation set had shorter PFS. Multivariable analysis revealed that the rad_score was an independent prognostic factor in both training and validation sets. A radiomics nomogram, developed using rad_score, nodal stage, and lymphovascular invasion, showed good performance in the calibration curve and comparable predictive power with the staging system in the validation set. Conclusion: Textural features derived from 18F-FDG-PET images may enable more detailed stratification of prognosis in patients with CRC.

Original languageEnglish (US)
JournalUnknown Journal
DOIs
StatePublished - Dec 30 2019

Keywords

  • F-fluorodeoxyglucose positron-emission tomography
  • Colorectal cancer
  • Prognosis
  • Progression-free survival
  • Radiomics

ASJC Scopus subject areas

  • Medicine(all)

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